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Groundwater inflow prediction in urban tunneling with a tunnel boring machine (TBM)

机译:隧道掘进机(TBM)在城市隧道中的地下水流入预测

摘要

Tunneling in urban areas demands an accurate characterization of the shallow subsurface to minimize risks during excavation. Unexpected high water inflows constitute a major problem because they may result in the collapse of the tunnel face and affect surface structures. Such collapses interrupted boring tasks and led to costly delays during the construction of the Santa Coloma Sector of L9 (Line 9) of the Barcelona Subway. A method for predicting groundwater inflows at tunnel face scale was implemented. A detailed 3D geological and geophysical characterization of the area was performed and a quasi-3D numerical model with a moving tunnel face boundary condition was built to simulate tunnel aquifer interaction. The model correctly predicts groundwater head variations and the magnitude of tunnel inflows concentrated at the crossing of faults and some dikes. Adaptation of the model scale to that of the tunnel and proper accounting for connectivity with the rest of the rock massif were crucial for quantifying the inflows. This method enables us to locate the hazardous areas where dewatering could be implemented.
机译:城市地区的隧道开挖要求对浅层地下进行精确表征,以最大程度降低开挖过程中的风险。意外的高水流入量是一个主要问题,因为它们可能导致隧道面坍塌并影响地面结构。这样的坍塌打断了无聊的工作,并导致巴塞罗那地铁L9号线(9号线)的圣科洛玛区(Santa Coloma Sector)的施工延误,代价高昂。实施了一种预测隧道面规模地下水流入量的方法。对该区域进行了详细的3D地质和地球物理表征,并建立了具有移动隧道面边界条件的准3D数值模型,以模拟隧道含水层相互作用。该模型可以正确预测地下水位的变化以及集中在断层和某些堤坝交叉处的隧道流入量。模型规模与隧道规模的匹配以及对与其余岩层的连通性的适当考虑对于量化流入量至关重要。这种方法使我们能够定位可以进行脱水的危险区域。

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